Juan José García Cantero, a Computer Graphics Researcher in the Visualization team within the Computing Division, is dedicated to crafting cutting-edge tools for delving into the intricacies of the brain. His primary focus lies in surmounting the challenge of overlap and collision within complex neural structures, such as neurons, vasculatures, and astrocytes.
In his role, Juan José creates sophisticated computational techniques that simulate the dynamic interactions among these elements. His ambition is to achieve a faithful and precise portrayal of their behaviors. Moreover, he plays a pivotal role in shaping immersive applications tailored for in-depth exploration of brain structures. The ultimate aim is to advance our comprehension of the brain’s intricate architecture and operations, through innovative approaches in computational neuroscience.
Prior to joining Blue Brain, Juan José’s research at the Rey Juan Carlos University in Madrid centered on devising visualization techniques to facilitate the exploration and analysis of cerebral formations. This involved integrating insights from neuroscience and harnessing state-of-the-art methods in computer graphics.
Juan José holds a B. Sc. in Telecommunication Engineering, an M.Sc. in Computer Graphics, Games and Virtual Reality, as well as a Ph.D. in Computer Graphics from the Rey Juan Carlos University in Spain.
Abdellah, M., Garcia-Cantero, J.J., Guerrero, N.R., et al. 2022. Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Briefings in Bioinformatics 24. http://dx.doi.org/10.1093/bib/bbac491
Abdellah, M., García-Cantero, J.J., Foni, A., Roman Guerrero, N., Boci, E., and Schürmann, F. 2022. Meshing of Spiny Neuronal Morphologies using Union Operators. https://diglib.eg.org/handle/10.2312/cgvc20221168
Pastor, L., Bayona, S., Brito, J., et al. 2021. A Unified Framework for Neuroscience Morphological Data Visualization. Applied Sciences 11, 4652. http://dx.doi.org/10.3390/app11104652
Garcia-Cantero, J.J., Brito, J.P., Mata, S., Bayona, S., and Pastor, L. 2017. NeuroTessMesh: A Tool for the Generation and Visualization of Neuron Meshes and Adaptive On-the-Fly Refinement. Frontiers in Neuroinformatics 11. http://dx.doi.org/10.3389/fninf.2017.00038
Pastor, L., Mata, S., Toharia, P., Bayona, S., Brito, J.P., and Garcia-Cantero, J.J. 2015. NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex. Spanish Computer Graphics Conference (CEIG). https://diglib.eg.org/handle/10.2312/ceig20151208